Top AI Jobs in Singapore

Work as an Engineering Manager for the AI OSS Ecosystem team at Databricks, leading the development of an open-source MLOps platform while managing engineering teams and collaborating with the AI/ML community.

The role involves architecting and maintaining AI and data platforms, optimizing data pipelines and APIs, and ensuring system scalability.

Lead the design and implementation of AI-driven data models, integrate business processes, and enhance data architecture for Omio's AI transformation efforts.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

Lead and manage the development of scalable software applications using generative AI, mentor teams, and translate AI research into products.

The role involves building automated tests, integrating them into CI/CD, using AI tools for test design, and conducting exploratory testing.

As a Solutions Architect, you'll lead AI solution development in defense, engaging with stakeholders, managing risks, and ensuring compliance with laws.

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

Lead Developers act as primary client contacts, ensuring project success through strategic collaboration, agile methodologies, and high-quality software delivery using various technologies including AI solutions.

Senior developers lead and mentor teams while delivering software solutions. They advocate for best practices and collaborate to solve business problems using innovative technology.

As a Principal AI Platform Engineer, you will design, develop, and operate core components of the AI platform, manage MLOps pipelines, and ensure quality AI workloads with a focus on LLM tooling and infrastructure.

Lead the design of AI-assisted engineering frameworks, mentor engineers, and drive technical decision-making for AI integration in software development at Dell.

As a Principal AI Application Engineer, you will lead the integration of AI tools in software development, mentor teams, and enhance product capabilities for Dell's solutions.

As an AI-Assisted Application Engineer, you will architect AI-driven automation across platforms, mentor engineers, and influence technical direction in enterprise software engineering.

Lead the architecture and integration of AI-assisted engineering practices, guiding teams in software development and best practices, while driving AI-driven workflow automation.

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.

The Principal Software Engineer will develop AI tools to enhance developer productivity and manage AI project execution across teams.

Collaborate with teams to develop AI tools for enhancing software development efficiency, mentor engineers, and manage AI projects across Grab.

Lead the development of AI-driven software solutions, enhance engineering productivity, manage AI project execution, and mentor junior engineers.

As an AI Solutions Architect at Neo4j, you will design and deploy innovative AI solutions leveraging graph databases and LLMs, collaborating closely with customers to drive transformative change.

The Site Reliability Engineer will enhance system reliability and performance using cloud solutions, monitoring tools, and automation. Responsibilities include CI/CD development, capacity planning, and troubleshooting infrastructure issues.

Intern will assist the engineering team in optimizing blockchain data queries and contribute to AI initiatives at Allium. Expect to learn from experienced engineers and gain hands-on experience.

The Senior Full-stack Developer will design, develop, and maintain scalable applications, balancing frontend and backend work, and lead projects in a collaborative environment.

As a Senior Full-stack Developer, you will design and improve software across frontend and backend systems, manage project documentation, and collaborate closely with DevOps and mobile engineers.

As a Full Stack Engineer AI, you'll develop AI-integrated applications, bridging backend systems, ML, and frontend engineering to enhance user experience in financial services.